Sushil Tiwari

Continuously improving the analytics, data engineering, and data science capabilities through expansion of domain expertise, external validation, collaboration and insights gathered from data related to solution adoption. Devising solutions to create automated data pipelines using AWS, Azure for data ingestion into the product.

Worked with Machine Learning using Linear Regression model to calculate Daily, Weekly, Monthly, and Quarterly Sales Projection Values for different AstraZeneca Products. Generated Automated PowerPoint and Excel Reports using Python-pptx API and deployed the final project in Databricks for automatic scheduling of dashboard creation and delivery to stakeholders.

Worked on ML model that could predict Franchisee Restaurant performance based on factors as input. This was used by stakeholders to focus on the low revenue-generating outlets. Designed, developed, and implemented processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes within a given project, reviewing deliverables to ensure high quality

Developed Visualization dashboard using Python in Excel, PowerPoint for the weekly, monthly, and quarterly restaurant sales Created and validated UAT Version to be deployed in the production pipeline.

Learning the fundamental concepts of big data analytics with in-depth knowledge and understanding of the big data analytics domain. To learn Cloud Computing, accessing resources and services needed to perform functions with dynamically changing needs.